Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Abstract: We present a systematic review, an empirical study, and a first set of considerations for designing visualizations in motion, derived from a concrete scenario in which these visualizations ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
As artificial intelligence (AI) and edge computing continue to accelerate worldwide, industrial displays are undergoing a ...
Built directly into the elluminate ecosystem, the agents combine governed data with explainable intelligence to accelerate decisions eClinical Solutions LLC, a global provider of digital clinical ...
The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.
Interactive R Shiny dashboard for visualizing student data, identifying risk tiers, and supporting MTSS decision-making. Features include tiered risk scoring, interactive charts, and Excel/Google ...
The R language for statistical computing has creeped back into the top 10 in Tiobe’s monthly index of programming language popularity. “Programming language R is known for fitting statisticians and ...
Researchers have developed DrugtargetMR, a comprehensive computational tool designed to bridge the gap between genetic discoveries and clinical applications. By integrating multi-omics data with ...
Abstract: Deep generative vision models are now able to synthesize realistic-looking satellite imagery. However, the possibility of hallucinations prevents their adoption of risk-sensitive ...
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